Overview

• Familiarize with R syntax, data types, and data structures
• Distinguish between R scripts (.R), Markdown documents (.md), and R Markdown documents (.Rmd)
• Identify the major components of R Markdown
• Create repositories
• Make commits and synchronize repositories from RStudio

Before class

• Read chapter 4 “Workflow Basics” in R for Data Science
• Read Data Carpentry Introduction to R
• Read chapter 27 “R Markdown” in R for Data Science

Class materials

• Run the code below in your console to download today’s lecture and exercises: usethis::use_course("CFSS-MACSS/intro-r")[1]
• Using Git within R Studio

Additional resources

• Markdown and R Markdown by Pat Bartlein
• R Markdown from R Studio official documentation
• Practice your R skills with DataCamp free Introduction to R course

What you need to do after class

• If you haven’t yet:
  • Install and setup software
• Start Homework 1

[1] If you are using R from your local machine: first install the library by typing in your console install.packages("usethis"); then load it with library(usethis); finally run the code